Abstract:Disk-oriented approaches to datacenter storage are becoming increasingly problematic: they do not scale gracefully to meet the needs of large-scale web applications, and improvements in disk capacity have far outstripped improvements in access latency and bandwidth. RAMCloud presents a new approach to datacenter storage, where information is kept entirely in DRAM and large-scale systems are created by aggregating the main memories of thousands of commodity servers. We believe that RAMCloud clusters can provide durable and available storage with 100-1000x the throughput of disk-based systems and 100-1000x lower access latency. The combination of low latency and large scale will enable a new breed of data-intensive applications.

Bio:Diego is a first year PhD student in Computer Science at Stanford University. He recently graduated from Rice University, where he studied CS with a focus on operating systems and virtualization.